Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study.

Autor: Nowell, William Benjamin1 (AUTHOR), Curtis, Jeffrey R2 (AUTHOR), Nolot, Sandra K3 (AUTHOR), Curtis, David1 (AUTHOR), Venkatachalam, Shilpa1 (AUTHOR), Owensby, Justin K2 (AUTHOR), Poon, Jiat Ling3 (AUTHOR), Calvin, Amy B3 (AUTHOR), Kannowski, Carol L3 (AUTHOR), Faries, Douglas E3 (AUTHOR), Gavigan, Kelly1 (AUTHOR), Haynes, Virginia S3 (AUTHOR)
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Zdroj: Journal of Medical Internet Research. Sep2019, Vol. 21 Issue 9, pN.PAG-N.PAG. 1p. 2 Charts.
Abstrakt: Background: Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passive collection of patients' biometric and activity data. If it is shown to be strongly related to data captured by patient-reported outcome (PRO) measures, information collected passively from wearable digital technology could serve as an objective proxy or be complementary to patients' subjective experience of RA symptoms. Objective: The goal of this study is to characterize the extent to which digital measures collected from a consumer-grade smartwatch agree with measures of RA disease activity and other PROs collected via a smartphone app. Methods: This observational study will last 6 months for each participant. We aim to recruit 250 members of the ArthritisPower registry with an RA diagnosis who will receive a smartwatch to wear for the period of the study. From the ArthritisPower mobile app on their own smartphone device, participants will be prompted to answer daily and weekly electronic PRO (ePRO) measures for the first 3 months. Results: The study was launched in December 2018 and will require up to 18 months to complete. Study results are expected to be published by the end of 2021. Conclusions: The completion of this study will provide important data regarding the following: (1) the relationship between passively collected digital measures related to activity, heart rate, and sleep collected from a smartwatch with ePROs related to pain, fatigue, physical function, and RA flare entered via smartphone app; (2) determine predictors of adherence with smartwatch and smartphone app technology; and (3) assess the effect of study-specific reminders on adherence with the smartwatch. International Registered Report Identifier (IRRID): DERR1-10.2196/14665 We help JMIR researchers to raise funds to pursue their research and development aimed at tackling important health and technology challenges. If you would like to show your support for this author, please donate using the button below. The funds raised will directly benefit the corresponding author of this article (minus 8% admin fees). Your donations will help this author to continue publishing open access papers in JMIR journals. Donations of over $100 may also be acknowledged in future publications. Suggested contribution levels: $20/$50/$100 [ABSTRACT FROM AUTHOR]
Databáze: Library, Information Science & Technology Abstracts
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